Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa |
Mazaira Fernández, Luis Miguel, Álvarez Marquina, Agustín ORCID: https://orcid.org/0000-0002-6106-6711 and Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X (2015). Improving speaker recognition by biometric voice deconstruction. "Frontiers in Bioengineering and Biotechnology", v. 3 ; pp. 1-19. ISSN 2296-4185. https://doi.org/10.3389/fbioe.2015.00126.
Título: | Improving speaker recognition by biometric voice deconstruction |
---|---|
Autor/es: |
|
Tipo de Documento: | Artículo |
Título de Revista/Publicación: | Frontiers in Bioengineering and Biotechnology |
Fecha: | Septiembre 2015 |
ISSN: | 2296-4185 |
Volumen: | 3 |
Materias: | |
Palabras Clave Informales: | Voice biometry; Voice processing; Speaker recognition; Speaker characterization; Source-tract separation; GMM–UBM |
Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
Departamento: | Arquitectura y Tecnología de Sistemas Informáticos |
Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa |
Person identification, especially in critical environments, has always been a subject of great interest. However, it has gained a new dimension in a world threatened by a new kind of terrorism that uses social networks (e.g., YouTube) to broadcast its message. In this new scenario, classical identification methods (such as fingerprints or face recognition) have been forcedly replaced by alternative biometric characteristics such as voice, as sometimes this is the only feature available. The present study benefits from the advances achieved during last years in understanding and modeling voice production. The paper hypothesizes that a gender-dependent characterization of speakers combined with the use of a set of features derived from the components, resulting from the deconstruction of the voice into its glottal source and vocal tract estimates, will enhance recognition rates when compared to classical approaches. A general description about the main hypothesis and the methodology followed to extract the gender-dependent extended biometric parameters is given. Experimental validation is carried out both on a highly controlled acoustic condition database, and on a mobile phone network recorded under non-controlled acoustic conditions.
ID de Registro: | 40912 |
---|---|
Identificador DC: | https://oa.upm.es/40912/ |
Identificador OAI: | oai:oa.upm.es:40912 |
Identificador DOI: | 10.3389/fbioe.2015.00126 |
URL Oficial: | https://www.frontiersin.org/articles/10.3389/fbioe... |
Depositado por: | Memoria Investigacion |
Depositado el: | 20 Oct 2016 07:55 |
Ultima Modificación: | 05 Jun 2019 17:28 |